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" Either I will find a way, or I will build one "


Branch project "OneTicket" is a part of comprehensive planned programme ITS EUROPE 2020.

As such OneTcket is a strartupwise initiative of TCT - Transport Consultants Team, small but resilient independent team of cosultants from Western Poland, in cooperation with scientifcal, business and research institutions.

It grew up form a long-term research and continous improvement of the founder's inventory project of intermodal integrated intelligent transport system, including all transport means.

One-stop information and purchase point will deliver one ticket as its main product/result. Before that, optimal route searching and managing will be available.

Multilevel - basic to advanced - travel information with convinient option choice for passenger / cargo transport with high added value and good level of services.

We invite you to support, cooperation and implementation.


" Imagine all the people travelling by only ONE "

ITS and ETC in road transport

Fotoluminescencyjne materiałY, elementY drogowe, Farba proszkowa fotoluminescencyjna

Photoluminescent materials, elements Road, Powder paint photoluminescent

Neurosoft Sp. z o. o. was established in 1992 as a spin-off of academic co-workers and graduates of University of Wroclaw and Wroclaw University of Technology. Technology provided by Neurosoft is based on artificial neural networks (AI). The main objective is to use artificial intelligence in practice. Neurosoft's strategy is to develop innovative products based on unique technologies.

Neurosoft’s journey has started based on the idea to make easier and safer the daily life of human being. For this purpose Neurosoft’s core technologies are: speech analysis and synthesis, digital signal processing (optical character recognition) and natural language processing.. Company’s goal is to build innovative solutions linking a man and a machine with intuitive interface. Thanks to a strong R&D department Neurosoft successfully transforms research on new technologies into specific products. Neurosoft is a stakeholder of international R&D projects dedicated to traffic management and road safety systems.

Particularly important applications of our technologies are these connected to intelligent transport and road safety systems. Neurosoft is the first company offering commercial solutions for complex identification of vehicles in motion on the basis of digital image analysis only.

Based on experience and scientific approach Neurosoft became to be a globally acting supplier providing technology for the identification and recognition of vehicles. The main product line offered by Neurosoft is NeuroCar – a family of products that applies advanced image analysis methods in intelligent transport and road safety systems. 

Automatized processes of NeuroCar take place in real time delivering its users uniquequality of recognition due to sophisticated method enabling Make and Model Recognition of car. NeuroCar supports  statistical analysis and business intelligence accessible on-line via intuitive web application. All products are supported by IT engines based on neural network technology.

NeuroCar became an effective tool to promote road safety and Intelligent Transport Systems (ITS) in cites and roadways enabling faster and safer transport of people and goods. The products allow, i.a. for non-invasive detection of the vehicle presence and automatic recognition of its license plate, vehicle category, manufacturer (ex. Ford, Toyota), model (ex. Taurus, Yaris), even vehicle spee and color – all this complex identiticataion is possible based on video signal only!

Neurosoft deliver an effective operational work tools for private and public entities as: Police officers, road engineers, and Road Transport Inspection, etc.

The best-sold products of NeuroCar are:
- NeuroCar RedLight - a stationary registering enforcement device that automatically reveals violations of traffic rules committed by drivers not complying with traffic lights;
- NeuroCar Weigh-in-Motion - a system for the detection and identification of oversized and overloaded vehicles in motion; system combined with dangerous goods identification system (ADR);
- NeuroCar Section Speed Control – an enforcement system for measuring the average speed of vehicles on the designated road section;
- NeuroCar Access Control - is an automatic system which allows for the control and monitoring of vehicles in demarcated zones, on the basis of video-identification;

- NeuroCar Vehicle Identification - a system designed for detection and identification of vehicles in motion performed on basis of their image from a video camera.

Multimedia Systems Department of Gdańsk University of Technology is a successful participant of International and domestic projects including safety and security, urban agglomeration monitoring, smart surveillance systems, real-life applications of computer vision, and sound classification. The team is currently engaged in development of embedded systems for smart cameras, employing low power processing accelerators, and creating methods for dynamic traffic management. MSD seeks for cooperation on innovative mobility ideas, based on a concept of Embedded Dynamic Car Situation Awareness System Based On Advanced Road Surveillance Employing Natural Driver’s Communication Interface. Further details are available here (description) and here (slides).

POLSTRATEGIES GLOBSERVICE consulting engineers llc. provides a framework of an Urban Roads Model 

in a supply chain of costumers; traffic planner, urban planner, urban designers, investors, developers and politicians. 

In this model, the costumers aim to maximize the profits and minimizing the cost by choosing roads to provide 

a high level of efficiency and accessibility for people and goods can be analyzed based on two categories of urban 

structural aspects; urban roads' configuration (sociocultural characteristics of spatial elements) and urban places 

formation (distribution pattern of contextual events), impact their decisions making. These aspects were shaped in 

three factors of roads' attractiveness; accessibility of traffic, centrality of network and density of vehicles. These 

factors can be formed by bottomup process that compose the local elements to shape the whole urban roads network 

and by topdown process to estimate the density of the vehicles within each local urban context based on the global 

distribution of events. The Urban Roads Model reveals that the balance between the bottomup process and topdown 

process would be greatly influenced by the approaches of formation and configuration. The power of these two 

analogical approaches, in a single framework of Urban Roads Model, to deal with different scales of urban structures, 

ranging from the local to the regional, is of obvious attraction to planners and designers. Different approaches, 

theories, concepts, methods and techniques have been critically reviewed and applied, aiming to build a smart 

geospatial tool to support the analysis of the roads network from spatial and contextual perspective, in view of 

socicultural challenges, and with regard to the global competitiveness of land uses within the urban environment.